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  1. Article ; Online: Arts engagement, mortality and dementia: what can the data say?

    Wright, Liam

    Journal of epidemiology and community health

    2020  Volume 74, Issue 9, Page(s) 764

    MeSH term(s) Aging ; Dementia ; Follow-Up Studies ; Humans ; Longitudinal Studies ; Mental Health
    Language English
    Publishing date 2020-06-13
    Publishing country England
    Document type Letter ; Research Support, Non-U.S. Gov't ; Comment
    ZDB-ID 391868-3
    ISSN 1470-2738 ; 0142-467X ; 0141-7681 ; 0143-005X
    ISSN (online) 1470-2738
    ISSN 0142-467X ; 0141-7681 ; 0143-005X
    DOI 10.1136/jech-2020-214227
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Dialling back 'impact' claims: researchers should not be compelled to make policy claims based on single studies.

    Bann, David / Courtin, Emilie / Davies, Neil M / Wright, Liam

    International journal of epidemiology

    2023  Volume 53, Issue 1

    MeSH term(s) Humans ; Policy ; Research Personnel
    Language English
    Publishing date 2023-12-20
    Publishing country England
    Document type Journal Article
    ZDB-ID 187909-1
    ISSN 1464-3685 ; 0300-5771
    ISSN (online) 1464-3685
    ISSN 0300-5771
    DOI 10.1093/ije/dyad181
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Correction to: Guidelines: a structural topic modelling analysis of free-text data from 17,500 UK adults.

    Wright, Liam / Paul, Elise / Steptoe, Andrew / Fancourt, Daisy

    BMC public health

    2022  Volume 22, Issue 1, Page(s) 581

    Language English
    Publishing date 2022-03-24
    Publishing country England
    Document type Published Erratum
    ZDB-ID 2041338-5
    ISSN 1471-2458 ; 1471-2458
    ISSN (online) 1471-2458
    ISSN 1471-2458
    DOI 10.1186/s12889-022-12614-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Socioeconomic inequalities in cardiovascular disease: a causal perspective.

    Bann, David / Wright, Liam / Hughes, Alun / Chaturvedi, Nish

    Nature reviews. Cardiology

    2023  Volume 21, Issue 4, Page(s) 238–249

    Abstract: Socioeconomic inequalities in cardiovascular disease (CVD) persist in high-income countries despite marked overall declines in CVD-related morbidity and mortality. After decades of research, the field has struggled to unequivocally answer a crucial ... ...

    Abstract Socioeconomic inequalities in cardiovascular disease (CVD) persist in high-income countries despite marked overall declines in CVD-related morbidity and mortality. After decades of research, the field has struggled to unequivocally answer a crucial question: is the association between low socioeconomic position (SEP) and the development of CVD causal? We review relevant evidence from various study designs and disciplinary perspectives. Traditional observational, family-based and Mendelian randomization studies support the widely accepted view that low SEP causally influences CVD. However, results from quasi-experimental and experimental studies are both limited and equivocal. While more experimental and quasi-experimental studies are needed to aid causal understanding and inform policy, high-quality descriptive studies are also required to document inequalities, investigate their contextual dependence and consider SEP throughout the lifespan; no simple hierarchy of evidence exists for an exposure as complex as SEP. The COVID-19 pandemic illustrates the context-dependent nature of CVD inequalities, with the generation of potentially new causal pathways linking SEP and CVD. The linked goals of understanding the causal nature of SEP and CVD associations, their contextual dependence, and their remediation by policy interventions necessitate a detailed understanding of society, its change over time and the phenotypes of CVD. Interdisciplinary research is therefore key to advancing both causal understanding and policy translation.
    MeSH term(s) Humans ; Cardiovascular Diseases/etiology ; Socioeconomic Factors ; Pandemics ; Income ; Risk Factors
    Language English
    Publishing date 2023-10-11
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2490375-9
    ISSN 1759-5010 ; 1759-5002
    ISSN (online) 1759-5010
    ISSN 1759-5002
    DOI 10.1038/s41569-023-00941-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: The association between cognitive ability and body mass index: A sibling-comparison analysis in four longitudinal studies.

    Wright, Liam / Davies, Neil M / Bann, David

    PLoS medicine

    2023  Volume 20, Issue 4, Page(s) e1004207

    Abstract: Background: Body mass index (BMI) and obesity rates have increased sharply since the 1980s. While multiple epidemiologic studies have found that higher adolescent cognitive ability is associated with lower adult BMI, residual and unobserved confounding ... ...

    Abstract Background: Body mass index (BMI) and obesity rates have increased sharply since the 1980s. While multiple epidemiologic studies have found that higher adolescent cognitive ability is associated with lower adult BMI, residual and unobserved confounding due to family background may explain these associations. We used a sibling design to test this association accounting for confounding factors shared within households.
    Methods and findings: We used data from four United States general youth population cohort studies: the National Longitudinal Study of Youth 1979 (NLSY-79), the NLSY-79 Children and Young Adult, the NLSY 1997 (NLSY-97), and the Wisconsin Longitudinal Study (WLS); a total of 12,250 siblings from 5,602 households followed from adolescence up to age 62. We used random effects within-between (REWB) and residualized quantile regression (RQR) models to compare between- and within-family estimates of the association between adolescent cognitive ability and adult BMI (20 to 64 years). In REWB models, moving from the 25th to 75th percentile of adolescent cognitive ability was associated with -0.95 kg/m2 (95% CI = -1.21, -0.69) lower BMI between families. Adjusting for family socioeconomic position reduced the association to -0.61 kg/m2 (-0.90, -0.33). However, within families, the association was just -0.06 kg/m2 (-0.35, 0.23). This pattern of results was found across multiple specifications, including analyses conducted in separate cohorts, models examining age-differences in association, and in RQR models examining the association across the distribution of BMI. Limitations include the possibility that within-family estimates are biased due to measurement error of the exposure, confounding via non-shared factors, and carryover effects.
    Conclusions: The association between high adolescent cognitive ability and low adult BMI was substantially smaller in within-family compared with between-family analysis. The well-replicated associations between cognitive ability and subsequent BMI may largely reflect confounding by family background factors.
    MeSH term(s) Child ; Adolescent ; Young Adult ; Humans ; United States/epidemiology ; Middle Aged ; Body Mass Index ; Longitudinal Studies ; Siblings ; Obesity/epidemiology ; Cognition ; Weight Loss
    Language English
    Publishing date 2023-04-13
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2185925-5
    ISSN 1549-1676 ; 1549-1277
    ISSN (online) 1549-1676
    ISSN 1549-1277
    DOI 10.1371/journal.pmed.1004207
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: The association between cognitive ability and body mass index

    Liam Wright / Neil M. Davies / David Bann

    PLoS Medicine, Vol 20, Iss

    A sibling-comparison analysis in four longitudinal studies

    2023  Volume 4

    Abstract: Background Body mass index (BMI) and obesity rates have increased sharply since the 1980s. While multiple epidemiologic studies have found that higher adolescent cognitive ability is associated with lower adult BMI, residual and unobserved confounding ... ...

    Abstract Background Body mass index (BMI) and obesity rates have increased sharply since the 1980s. While multiple epidemiologic studies have found that higher adolescent cognitive ability is associated with lower adult BMI, residual and unobserved confounding due to family background may explain these associations. We used a sibling design to test this association accounting for confounding factors shared within households. Methods and findings We used data from four United States general youth population cohort studies: the National Longitudinal Study of Youth 1979 (NLSY-79), the NLSY-79 Children and Young Adult, the NLSY 1997 (NLSY-97), and the Wisconsin Longitudinal Study (WLS); a total of 12,250 siblings from 5,602 households followed from adolescence up to age 62. We used random effects within-between (REWB) and residualized quantile regression (RQR) models to compare between- and within-family estimates of the association between adolescent cognitive ability and adult BMI (20 to 64 years). In REWB models, moving from the 25th to 75th percentile of adolescent cognitive ability was associated with −0.95 kg/m2 (95% CI = −1.21, −0.69) lower BMI between families. Adjusting for family socioeconomic position reduced the association to −0.61 kg/m2 (−0.90, −0.33). However, within families, the association was just −0.06 kg/m2 (−0.35, 0.23). This pattern of results was found across multiple specifications, including analyses conducted in separate cohorts, models examining age-differences in association, and in RQR models examining the association across the distribution of BMI. Limitations include the possibility that within-family estimates are biased due to measurement error of the exposure, confounding via non-shared factors, and carryover effects. Conclusions The association between high adolescent cognitive ability and low adult BMI was substantially smaller in within-family compared with between-family analysis. The well-replicated associations between cognitive ability and subsequent BMI may largely reflect ...
    Keywords Medicine ; R
    Subject code 796
    Language English
    Publishing date 2023-04-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: The association between cognitive ability and body mass index

    Liam Wright / Neil M Davies / David Bann

    PLoS Medicine, Vol 20, Iss 4, p e

    A sibling-comparison analysis in four longitudinal studies.

    2023  Volume 1004207

    Abstract: Background Body mass index (BMI) and obesity rates have increased sharply since the 1980s. While multiple epidemiologic studies have found that higher adolescent cognitive ability is associated with lower adult BMI, residual and unobserved confounding ... ...

    Abstract Background Body mass index (BMI) and obesity rates have increased sharply since the 1980s. While multiple epidemiologic studies have found that higher adolescent cognitive ability is associated with lower adult BMI, residual and unobserved confounding due to family background may explain these associations. We used a sibling design to test this association accounting for confounding factors shared within households. Methods and findings We used data from four United States general youth population cohort studies: the National Longitudinal Study of Youth 1979 (NLSY-79), the NLSY-79 Children and Young Adult, the NLSY 1997 (NLSY-97), and the Wisconsin Longitudinal Study (WLS); a total of 12,250 siblings from 5,602 households followed from adolescence up to age 62. We used random effects within-between (REWB) and residualized quantile regression (RQR) models to compare between- and within-family estimates of the association between adolescent cognitive ability and adult BMI (20 to 64 years). In REWB models, moving from the 25th to 75th percentile of adolescent cognitive ability was associated with -0.95 kg/m2 (95% CI = -1.21, -0.69) lower BMI between families. Adjusting for family socioeconomic position reduced the association to -0.61 kg/m2 (-0.90, -0.33). However, within families, the association was just -0.06 kg/m2 (-0.35, 0.23). This pattern of results was found across multiple specifications, including analyses conducted in separate cohorts, models examining age-differences in association, and in RQR models examining the association across the distribution of BMI. Limitations include the possibility that within-family estimates are biased due to measurement error of the exposure, confounding via non-shared factors, and carryover effects. Conclusions The association between high adolescent cognitive ability and low adult BMI was substantially smaller in within-family compared with between-family analysis. The well-replicated associations between cognitive ability and subsequent BMI may largely reflect ...
    Keywords Medicine ; R
    Subject code 796
    Language English
    Publishing date 2023-04-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Correction to

    Liam Wright / Elise Paul / Andrew Steptoe / Daisy Fancourt

    BMC Public Health, Vol 22, Iss 1, Pp 1-

    Guidelines: a structural topic modelling analysis of free-text data from 17,500 UK adults

    2022  Volume 5

    Keywords Public aspects of medicine ; RA1-1270
    Language English
    Publishing date 2022-03-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Do predictors of adherence to pandemic guidelines change over time? A panel study of 22,000 UK adults during the COVID-19 pandemic.

    Wright, Liam / Fancourt, Daisy

    Preventive medicine

    2021  Volume 153, Page(s) 106713

    Abstract: In the absence of a vaccine, governments have focused on behaviour change (e.g. social distancing and enhanced hygiene procedures) to tackle the COVID-19 pandemic. Existing research on the predictors of compliance with pandemic measures has often ... ...

    Abstract In the absence of a vaccine, governments have focused on behaviour change (e.g. social distancing and enhanced hygiene procedures) to tackle the COVID-19 pandemic. Existing research on the predictors of compliance with pandemic measures has often produced discrepant results. One explanation for this may be that the determinants of compliance are context specific. Understanding whether this is the case is important for designing public health messaging and for evaluating the generalisability of existing research. We used data from the UCL COVID-19 Social Study; a large weekly panel of UK adults from first five months of lockdown in the UK (n = 22,625). We tested whether the extent to which demographic, socio-economic position, personality traits, social and pro-social motivations, and the living environment predict compliance changed across the pandemic using multilevel regression modelling. Low compliance was strongly related to younger age and also to risk attitudes, empathic concern, and high income, among other factors. The size of some of these associations was larger in later months when less stringent lockdown and household mixing measures were in place. The results showed that compliance was lower and fell faster across some groups, suggesting the importance that public health communications adopt a plurality of messages to maximize broad adherence.
    MeSH term(s) Adult ; COVID-19 ; Communicable Disease Control ; Humans ; Pandemics/prevention & control ; SARS-CoV-2 ; United Kingdom
    Language English
    Publishing date 2021-07-06
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 184600-0
    ISSN 1096-0260 ; 0091-7435
    ISSN (online) 1096-0260
    ISSN 0091-7435
    DOI 10.1016/j.ypmed.2021.106713
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Trends in the ability of socioeconomic position to predict individual body mass index: an analysis of repeated cross-sectional data, 1991-2019.

    Wright, Liam / Staatz, Charis Bridger / Silverwood, Richard J / Bann, David

    BMC medicine

    2023  Volume 21, Issue 1, Page(s) 434

    Abstract: Background: The widening of group-level socioeconomic differences in body mass index (BMI) has received considerable research attention. However, the predictive power of socioeconomic position (SEP) indicators at the individual level remains uncertain, ... ...

    Abstract Background: The widening of group-level socioeconomic differences in body mass index (BMI) has received considerable research attention. However, the predictive power of socioeconomic position (SEP) indicators at the individual level remains uncertain, as does the potential temporal variation in their predictive value. Examining this is important given the increasing incorporation of SEP indicators into predictive algorithms and calls to reduce social inequality to tackle the obesity epidemic. We thus investigated SEP differences in BMI over three decades of the obesity epidemic in England, comparing population-wide (SEP group differences in mean BMI) and individual-level (out-of-sample prediction of individuals' BMI) approaches to understanding social inequalities.
    Methods: We used repeated cross-sectional data from the Health Survey for England, 1991-2019. BMI (kg/m
    Results: The mean and variance of BMI increased within each SEP group over the study period. Mean differences in BMI by SEP group also increased: differences between lowest and highest education groups were 1.0 kg/m
    Conclusions: SEP has become increasingly important at the population (group difference) and individual (prediction) levels. However, predictive ability remains low, suggesting limited utility of including SEP in prediction algorithms. Assuming links are causal, abolishing SEP differences in BMI could have a large effect on population health but would neither reverse the obesity epidemic nor reduce much of the variation in BMI.
    MeSH term(s) Humans ; Body Mass Index ; Social Class ; Cross-Sectional Studies ; Socioeconomic Factors ; Obesity/diagnosis ; Obesity/epidemiology
    Language English
    Publishing date 2023-11-13
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2131669-7
    ISSN 1741-7015 ; 1741-7015
    ISSN (online) 1741-7015
    ISSN 1741-7015
    DOI 10.1186/s12916-023-03103-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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